What should researchers do when their baseline model is falsified? We recommend reporting the set of parameters that are consistent with minimally nonfalsified models. call this falsification adaptive (FAS). This generalizes standard estimand to account for possible falsification. Importantly, it does not require researcher select or calibrate sensitivity parameters. In classical linear IV mult...

We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly endogenous regressors whose coefficients can vary over time either deterministically or stochastically, the time-varying uniform versions of standard Hausman exogeneity test. After deriving asymptotic properties proposed procedures, we assess their finite sample performance by ...

So on average, a woman with more than two kids works 6 weeks fewer than her counterpart with fewer than 2 kids. The result changes a little after we include age as the regressor. The question is, does this correlation imply causality? So the key regressor is morekids. The main concern is that morekids may be endogenous, i.e., correlated with the error term, due to simultaneity or omitted variab...

Instrumental variable (IV) estimation typically requires the user to correctly specify the relationship between the regressors and the outcome to obtain a consistent estimate of the effects of the treatments. This paper proposes doubly robust IV regression estimators that only require the user to either correctly specify the relationship between the measured confounding variables (i.e., include...